The article is devoted to the application of cognitive maps in intelligent decision support systems. An application has been developed and presented that enables the implementation of crisp cognitive maps, the execution of the learning process using the gradient method, and the observation of dynamic system changes. The operation of the program is demonstrated using the example of a decision support system in road transport and a system supporting the integration of transport policy with ecology.The article is devoted to describing the operation of crisp cognitive maps and their application in expert systems. The main goal of the work is to develop an application enabling the implementation of crisp cognitive maps and to present its operation using the example of intelligent decision support systems.
A cognitive map is a universal tool that uses knowledge and experience to understand and analyze phenomena occurring in the world around us. It is used in modeling dynamic processes [1], in diagnostic systems
[4], in time series prediction [5], in robotics [7], and also in complex process control systems [13-15]. Cognitive maps are an effective tool for modeling and controlling the behavior of a virtual agent [11] and modeling a virtual world [1,10]. They are also used in intelligent decision support systems, among others (…)
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Source: Logistyka Magazine
Application of cognitive maps in intelligent decision support systems – PDF file for download